diff --git a/SFEM/README.md b/SFEM/README.md
index 100332f7ed3fdfa1a247f4aa086b15c4bbd07f59..6ddae100302bed7a6b06e5e072a653da70580748 100644
--- a/SFEM/README.md
+++ b/SFEM/README.md
@@ -1,4 +1,4 @@
-# sveResponses
+# Stochastic Finite Element Method (SFEM)
 
 [![License: CC BY 4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
 [![MOAMMM](https://img.shields.io/badge/MOAMMM-2ea44f?logo=gitlab)](https://gitlab.uliege.be/moammm/moammmPublic)
@@ -11,19 +11,21 @@ This repository contains:
 
 ## Table of Contents
 
-1. [Spectral Generator of RF](#spectral-generator)
-2. [RF vizualization](#rf-vizualization)
-3. [Test Cases of MC SFEM](#mc-sfem)
+1. [Dependencies and Prerequisites](#dependencies-and-prerequisites)
+2. [Structure of Repository](#structure-of-repository)
+3. [Spectral Generator of RF](#spectral-generator-of-rf)
+4. [RF vizualization](#rf-vizualization)
+5. [Test Cases of MC SFEM](#test-cases of-mc-sfem)
 
 ## Dependencies and Prerequisites
 
 [![python - >=3.11](https://img.shields.io/badge/python->=3.11-2ea44f?logo=python)](https://www.python.org/downloads/)  [![pandas - >=1.5.3](https://img.shields.io/badge/pandas->=1.5.3-2ea44f?logo=pandas)](https://github.com/pandas-dev/pandas) [![matplotlib - >-3.5.2](https://img.shields.io/badge/matplotlib->--3.5.2-2ea44f)](https://matplotlib.org/)
 
-Python, pandas, matplotlib, texttabble and latextable are pre requisites for visualizing and navigating the data.
+* Python, pandas, matplotlib, texttabble and latextable are pre requisites for visualizing and navigating the data.
 
-For generating mesh and for vizualization, gmsh (www.gmsh.info) is required.
+* For generating mesh and for vizualization, gmsh (www.gmsh.info) is required.
 
-For running simulations, cm3Libraries (www.ltas-cm3L) is required.
+* For running simulations, cm3Libraries (http://www.ltas-cm3.ulg.ac.be/openSource.htm) is required.
 
 ### Instructions using apt & pip3 package manager
 
@@ -41,49 +43,19 @@ Instructions for Debian/Ubuntu based workstations are as follows.
  pip3 install matplotlib texttable latextable
 ```
 
-### Pytorch
-
-``` bash
- pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
-```
-
-### Lattice libraries
-
- Build lattice libraries using the script:
-
-``` bash
-  Scripts/LatticeLib/compile.sh
-```
-
-This creates lattice libraries inside `$HOME/.local/lib/moammmLattice`.
-
-To use, append this into PYHONPATH by adding the following line in your .bashrc
-
-``` bash
-export PYTHONPATH=$PYTHONPATH:$HOME/.local/lib/moammmLattice
-```
-
 ## Structure of Repository
 
-[Scripts](./Scripts) contains all the code and libraries alongside the driver routine [driver.py](./Scripts/driver.py)
-
-Data for SVEs is stored as DataPaths and LoadPaths, Surrogate models are stored as RNNSurrogate, under their respective lattice names as [Cell3](./Cell3/) and [Cell6](./Cell6).
-
-Data is further organised into subfolders using a unique naming scheme based on their parameters.
+* [generateRF](./generateRF) contains all the scripts used to generate and vizualize the random fields
+* [cellRF](./cellRF) contains an example in which we generate a single variable random field on a lattice unit cell
+* [rnnRF](./rnnRF) contains an example in which we generate a  correlated two-variable random field and the siulations script to run Monte Carlo simulations on a multiscale lattice compression using a [MOAMMM stochastic neural network](https://gitlab.uliege.be/moammm/moammmPublic/syntheticdata/sveresponses) as surrogate of the cell response.
 
-To understand the unique naming scheme we introduce the parameters next.
 
-## Data Parameters
+### generateRF
 
-All parameters for data generation are defined inside driver routine [driver.py](./Scripts/driver.py), categorized as:
 
-### Lattice Selection
 
-| Parameter |      Type      | Description                                            |
-|:----------|:--------------:|:-------------------------------------------------------|
-| cellType  | String literal | Lattice identified by its numeric code: "3", "6", "9". |
 
-### Load Path Parameters
+### cellRF
 
 Loading paths are generated for three types of loadings:
 
@@ -91,21 +63,7 @@ Loading paths are generated for three types of loadings:
 2. Random Cyclic paths with rate variant data points (CR).
 3. Random Cyclic paths with constant rate data points (CC).
 
-| Parameter  |      Type       | Description                                                                           |
-|:-----------|:---------------:|:--------------------------------------------------------------------------------------|
-| load_type  | List of strings | Type of load Path: 'RW', 'CR',  'CC'.                                                 |
-| r_max      |      Float      | Upper bound of Right Cauchy Green (RCG) stretch Tensor norm $\bm{U}$.                 |
-| eval_step  | List of floats  | Bounds for RCG tensor increment.                                                      |
-| s_rate     | List of floats  | Bounds for strain rate.                                                               |
-| k          |       Int       | Number of paths for each load_type.                                                   |
-| n_max      |       Int       | Maximum allowable data points in a load path.                                         |
-| n_plot     |       Int       | Number of paths for visualization in the plots.                                       |
-| n_split    |       Int       | Number of collection bins (threads) - see [Thread creation](#thread-creation).        |
-| G_max      |      Float      | Upper Bound for gradient of deformation gradient $\bm{G}$ - (Only for HO kinematics). |
-| Geval_step | List of floats  | Bounds for G increment - (Only for HO kinematics).                                    |
-
-
-### Lattice Geometry Parameters
+### rnnRF
 
 Random SVEs are generated for a selected lattice by varying either,the **strut radius** or the **volume fraction**. Geometrical parameters for lattices along with their description are as: